Sökning: "SafeReinforcement Learning"

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  1. 1. Safe Reinforcement Learning for Remote Electrical Tilt Optimization

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Grigorios Iakovidis; [2021]
    Nyckelord :Remote Electrical Tilt; Antenna Tilt Optimization; Reinforcement Learning; SafeReinforcement Learning; Fjärrlutning; Antennlutningsoptimering; Förstärkningsinlärning; Säker Förstärkningsinlärning;

    Sammanfattning : The adjustment of the vertical tilt angle of Base Station (BS) antennas, also known as Remote Electrical Tilt (RET) optimization, is a simple and efficient method of optimizing modern telecommunications networks. Reinforcement Learning (RL) is a machine learning framework that can solve complex problems like RET optimization due to its capability to learn from experience and adapt to dynamic environments. LÄS MER